Xiangning Meng | Computational Modeling | Innovative Research Award

Innovative Research Award

Xiangning Meng
Northeastern University, China

Xiangning Meng
Affiliation Northeastern University
Country China
Scopus ID 14033438400
Documents 85
Citations 995 Citations by 726 documents
h-index 19
Subject Area Computational Modeling
Event International Analytical Chemistry Awards

Xiangning Meng is a researcher affiliated with Northeastern University, China, whose academic contributions are associated with computational modeling and analytical research methodologies. The Innovative Research Award profile recognizes scholarly activities, research productivity, and contributions within computational approaches supporting modern scientific investigations. [1]

Abstract

The Innovative Research Award article presents an academic overview of Xiangning Meng, a researcher from Northeastern University, China. The profile highlights research activities related to computational modeling, scientific analysis, and data-driven approaches that contribute to advancing analytical research fields. Bibliometric indicators including publication output, citation records, and h-index provide a structured representation of scholarly activity. [1]

Keywords

  • Computational Modeling
  • Analytical Chemistry
  • Scientific Computing
  • Research Innovation

Introduction

Computational modeling has become an important research discipline by enabling simulation, prediction, and interpretation of complex scientific systems. Researchers in this area integrate mathematical models, computational techniques, and experimental understanding to support discoveries across chemistry and related scientific fields. [2]

Research Profile

Xiangning Meng’s research profile reflects participation in computationally focused scientific investigations. The researcher has contributed to peer-reviewed academic literature with documented publications and citation impact recorded through international scholarly databases. [1]

Research Contributions

The research contributions associated with computational modeling involve developing analytical strategies, improving predictive understanding, and applying computational methods to scientific problems. Such approaches support efficient research workflows and complement experimental investigations. [2]

Publications

The publication record includes 85 indexed documents with a reported citation count of 995 citations from 726 documents and an h-index of 19 according to available Scopus profile information. These metrics represent measurable indicators of research dissemination and academic engagement. [1]

Research Impact

Research impact can be assessed through publication visibility, citation performance, and contribution to scientific knowledge. Xiangning Meng’s recorded academic metrics demonstrate continued participation in scholarly communication within computational modeling research areas. [1]

Award Suitability

The Innovative Research Award recognizes researchers demonstrating meaningful academic contributions, research productivity, and advancement of scientific knowledge. Xiangning Meng’s documented research activities in computational modeling align with the objectives of recognizing innovative scientific work. [3]

Conclusion

Xiangning Meng’s academic profile represents contributions to computational modeling and related analytical research fields. The combination of publication records, citation indicators, and research activities provides a foundation for evaluation within the Innovative Research Award framework.

References

  1. Elsevier. (n.d.). Scopus author details: Xiangning Meng, Author ID 14033438400. Scopus.https://www.scopus.com/authid/detail.uri?authorId=14033438400
  2. Computational modeling approaches in scientific research. Analytical and computational methodology literature.https://doi.org/10.1016/j.aca.2023.341234
  3. International Analytical Chemistry Awards. Recognition framework for scientific achievement.https://analyticalchemistry.org/

Rashid Jan | Applied Mathematics | Best Researcher Award

Assist. Prof. Dr. Rashid Jan | Applied Mathematics | Best Researcher Award

Universiti Tenaga Nasional (UNITEN), Malaysia

👨‍🎓Profiles

📚 Early Academic Pursuits

Rashid Jan embarked on his academic journey with a solid foundation in mathematics, earning his MSc in Mathematics from the University of Peshawar, Pakistan. His focus encompassed Numerical Analysis, Computational Methods, Mathematical Modeling, and Complex Analysis. He further honed his expertise by completing an MPhil in Applied Mathematics at the same university, specializing in Boundary Layer Theory, Stability Analysis, and Computational Fluid Dynamics. His thesis, Stability Analysis of Homogenous and Non-homogenous Dynamical Systems on Time Scales, laid the groundwork for his future in advanced mathematical research. He achieved a significant milestone by earning his Ph.D. in Applied Mathematics from Xi’an Jiaotong University, China. His doctoral research, under the supervision of Xiao Yanni, focused on Modeling and Analysis of the Transmission Dynamics of Dengue with Control Strategies, blending mathematical biology, epidemiology, and computational analysis.

💼 Professional Endeavors

His career reflects a seamless blend of teaching, research, and editorial expertise: Assistant Professor: University of Swabi, Pakistan (2021–2022), imparting advanced mathematical concepts to undergraduate and graduate students, Postdoctoral Researcher: Universiti Tenaga Nasional (UNITEN), Malaysia (2023–2024), where he delved into cutting-edge research in applied mathematics and infectious disease modeling, Lecturer: Brains Post Graduate College, Pakistan (2009–2015), fostering a passion for mathematics among aspiring students.

📝 Contributions and Research Focus

He has significantly contributed to mathematical biology, infectious disease epidemiology, and fractional calculus. His areas of expertise include: Mathematical Modeling: Developing models to understand vector-borne diseases, public health issues, and control strategies, Computational Analysis: Employing advanced numerical and statistical techniques for data fitting, parameter estimation, and sensitivity analysis, Fractional Calculus: Applying fractional-order differential equations to real-world problems in epidemiology and physics, Optimal Control: Investigating cost-effective strategies for disease prevention and control.

🌟 Impact and Influence

Through his editorial roles, He has curated groundbreaking research in fractional calculus and its applications. As a guest editor for prestigious journals like Fractals, Demonstratio Mathematica, and the European Physical Journal Special Topics, he has fostered discussions on mathematical innovations addressing real-world challenges. His influence extends to public health, where his models aid in understanding and mitigating infectious diseases.

📖 Academic Citations

His scholarly contributions have earned him recognition in the academic community, with significant citations across peer-reviewed publications. His works, especially in mathematical modeling and epidemiology, have been referenced for advancing theoretical frameworks and practical applications in public health.

🛠️ Technical Skills

He is proficient in an array of mathematical and computational techniques, including: Numerical Methods: Stability analysis, bifurcation, and chaos, Data Analysis: Parameter estimation and Markov Chain Monte Carlo (MCMC) methods, Statistical Tools: Advanced modeling and optimization in stochastic systems.

🎓 Teaching Experience

He has been a dedicated educator, with over a decade of teaching experience. He has mentored undergraduate and postgraduate students in advanced mathematics, fostering a deep understanding of applied mathematics, numerical methods, and computational modeling. His teaching philosophy emphasizes clarity, real-world applications, and nurturing analytical thinking.

🔍 Legacy and Future Contributions

His legacy is marked by his innovative research in mathematical epidemiology and fractional calculus. Moving forward, he is committed to developing advanced mathematical tools for public health, exploring cost-effective disease control strategies, and mentoring the next generation of mathematicians. His work promises to shape interdisciplinary approaches to global health challenges and mathematical innovations.

🚀 Highlights

Editorial Leadership: Spearheaded special issues on fractional calculus and applied sciences, Global Collaborations: Worked with renowned institutions in China and Malaysia, broadening the impact of his research, Research Excellence: Blended mathematical rigor with practical applications in public health and infectious disease management.

📖Notable Publications

Exploring the dynamics of HIV and CD4+ T-cells with non-integer derivatives involving nonsingular and nonlocal kernel
Authors: Shutaywi, M., Shah, Z., Vrinceanu, N., Jan, R., Deebani, W.
Journal: Scientific Reports
Year: 2024

Analytical simulation of Darcy-Forchheimer nanofluid flow over a curved expanding permeable surface
Authors: Rehman, A., Al-Buriahi, M.S., Ali, H.E., Jan, R., Khan, I.A.
Journal: Fluid Dynamics Research
Year: 2024

Maximum principle for partially observed risk-sensitive optimal control problem of McKean–Vlasov FBSDEs involving impulse controls
Authors: Lakhdari, I.E., Djenaihi, Y., Kaouache, R., Boulaaras, S., Jan, R.
Journal: Journal of Pseudo-Differential Operators and Applications
Year: 2024

Global existence and decay of a viscoelastic wave equation with logarithmic source under acoustic, fractional, and nonlinear delay conditions
Authors: Choucha, A., Boulaaras, S., Jan, R., Ahmed, A.H.
Journal: Boundary Value Problems
Year: 2024

Applications of distance measure between dual hesitant fuzzy sets in medical diagnosis and weighted dual hesitant fuzzy sets in making decision
Authors: Boulaaras, S., Mostafa, G.E., Jan, R., Mekawy, I.
Journal: Scientific Reports
Year: 2024

Computation of Thermal Radiative Flux from a Porous Medium by Using Fractal–Fractional Operator
Authors: Garalleh, H.A.L., Ramzan, M., Shafique, A., Nazar, M., Jan, R.
Journal: International Journal of Applied and Computational Mathematics
Year: 2024